Norbert Krüger

Computer Vision and Pattern Recognition · 2009–2013

A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Norbert Krüger trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Fu Jie Huang
  2. Yann LeCun
  3. Yoshua Bengio
  4. Andrew T. Miller
  5. David G. Lowe
  6. Dimitri P. Bertsekas
  7. Richard S. Sutton
  8. Geoffrey E. Hinton
  9. Ben J. A. Kröse
  10. Robert J. Peters

Who trusts Norbert Krüger overall

  1. Yushi Chen
  2. M. Alam
  3. Rico Jonschkowski
  4. Xing Zhao

Papers from Norbert Krüger's perspective

Ordered by how strongly the researchers Norbert Krüger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers